Nicolas Macris

Nicolas Macris

École Polytechnique Fédérale de Lausanne

H-index: 33

Europe-Switzerland

About Nicolas Macris

Nicolas Macris, With an exceptional h-index of 33 and a recent h-index of 19 (since 2020), a distinguished researcher at École Polytechnique Fédérale de Lausanne, specializes in the field of statistical physics, mathematical physics, information and coding theory, high dimensional inference.

His recent articles reflect a diverse array of research interests and contributions to the field:

On the convergence to the non-equilibrium steady state of a Langevin dynamics with widely separated time scales and different temperatures

The PRODSAT phase of random quantum satisfiability

Rectangular Rotational Invariant Estimator for High-Rank Matrix Estimation

Bayesian Extensive-Rank Matrix Factorization with Rotational Invariant Priors

Stochastic Gradient Flow Dynamics of Test Risk and its Exact Solution for Weak Features

Rectangular rotational invariant estimator for general additive noise matrices

Matrix inference in growing rank regimes

Gradient flow on extensive-rank positive semi-definite matrix denoising

Nicolas Macris Information

University

Position

Federale Lausanne

Citations(all)

3456

Citations(since 2020)

1812

Cited By

2485

hIndex(all)

33

hIndex(since 2020)

19

i10Index(all)

70

i10Index(since 2020)

35

Email

University Profile Page

École Polytechnique Fédérale de Lausanne

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Nicolas Macris Skills & Research Interests

statistical physics

mathematical physics

information and coding theory

high dimensional inference

Top articles of Nicolas Macris

Title

Journal

Author(s)

Publication Date

On the convergence to the non-equilibrium steady state of a Langevin dynamics with widely separated time scales and different temperatures

Annales Henri Poincaré

Diego Alberici

Nicolas Macris

Emanuele Mingione

2024/1/18

The PRODSAT phase of random quantum satisfiability

arXiv preprint arXiv:2404.18447

Joon Lee

Nicolas Macris

Jean Bernoulli Ravelomanana

Perrine Vantalon

2024/4/29

Rectangular Rotational Invariant Estimator for High-Rank Matrix Estimation

arXiv preprint arXiv:2403.04615

Farzad Pourkamali

Nicolas Macris

2024/3/7

Bayesian Extensive-Rank Matrix Factorization with Rotational Invariant Priors

Advances in Neural Information Processing Systems

Farzad Pourkamali

Nicolas Macris

2024/2/13

Stochastic Gradient Flow Dynamics of Test Risk and its Exact Solution for Weak Features

arXiv preprint arXiv:2402.07626

Rodrigo Veiga

Anastasia Remizova

Nicolas Macris

2024/2/12

Rectangular rotational invariant estimator for general additive noise matrices

Farzad Pourkamali

Nicolas Macris

2023/6/25

Matrix inference in growing rank regimes

arXiv preprint arXiv:2306.01412

Farzad Pourkamali

Jean Barbier

Nicolas Macris

2023/6/2

Gradient flow on extensive-rank positive semi-definite matrix denoising

Antoine Bodin

Nicolas Macris

2023/4/23

Solving non-linear Kolmogorov equations in large dimensions by using deep learning: a numerical comparison of discretization schemes

Journal of Scientific Computing

Raffaele Marino

Nicolas Macris

2023

Gradient flow in the gaussian covariate model: exact solution of learning curves and multiple descent structures

arXiv preprint arXiv:2212.06757

Antoine Bodin

Nicolas Macris

2022/12/13

Statistical limits of dictionary learning: random matrix theory and the spectral replica method

Physical Review E

Jean Barbier

Nicolas Macris

2022/8/30

Mismatched estimation of non-symmetric rank-one matrices under gaussian noise

Farzad Pourkamali

Nicolas Macris

2022/6/26

Information theoretic limits of learning a sparse rule

Journal of Statistical Mechanics: Theory and Experiment

Clément Luneau

Nicolas Macris

Jean Barbier

2022/4/25

Mismatched estimation of symmetric rank-one matrices under gaussian noise

International Zurich Seminar on Information and Communication (IZS 2022). Proceedings

Farzad Pourkamali

Nicolas Macris

2022/3/2

Model, sample, and epoch-wise descents: exact solution of gradient flow in the random feature model

Advances in Neural Information Processing Systems

Antoine Bodin

Nicolas Macris

2021/12/6

Mutual information for low-rank even-order symmetric tensor estimation

Information and Inference: A Journal of the IMA

Clément Luneau

Jean Barbier

Nicolas Macris

2021/12

Rank-one matrix estimation: analytic time evolution of gradient descent dynamics

Antoine Bodin

Nicolas Macris

2021/7/21

Mismatched estimation of rank-one symmetric matrices under gaussian noise

arXiv preprint arXiv:2107.08927

Farzad Pourkamali

Nicolas Macris

2021/7/19

Bell Diagonal and Werner state generation: Entanglement, non-locality, steering and discord on the IBM quantum computer

Entropy

Elias Riedel Gårding

Nicolas Schwaller

Chun Lam Chan

Su Yeon Chang

Samuel Bosch

...

2021/6/23

Tensor estimation with structured priors

IEEE Journal on Selected Areas in Information Theory

Clément Luneau

Nicolas Macris

2020/11/26

See List of Professors in Nicolas Macris University(École Polytechnique Fédérale de Lausanne)

Co-Authors

H-index: 60
Florent Krzakala

Florent Krzakala

École Polytechnique Fédérale de Lausanne

H-index: 60
Patrick Thiran

Patrick Thiran

École Polytechnique Fédérale de Lausanne

H-index: 57
Ruediger Urbanke

Ruediger Urbanke

École Polytechnique Fédérale de Lausanne

H-index: 55
Lenka Zdeborova

Lenka Zdeborova

École Polytechnique Fédérale de Lausanne

H-index: 53
Jim Freericks

Jim Freericks

Georgetown University

H-index: 43
Hamed Hassani

Hamed Hassani

University of Pennsylvania

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